Papers
Multi-Granularity Interaction Network for Extractive and Abstractive Multi-Document Summarization
Hanqi Jin, Tianming Wang, Xiaojun Wan
Leveraging Graph to Improve Abstractive Multi-Document Summarization
Wei Li, Xinyan Xiao, Jiachen Liu et al.
Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization
Yue Cao, Hui Liu, Xiaojun Wan
Heterogeneous Graph Neural Networks for Extractive Document Summarization
Danqing Wang, Pengfei Liu, Yining Zheng et al.
Extractive Summarization as Text Matching
Ming Zhong, Pengfei Liu, Yiran Chen et al.
Composing Elementary Discourse Units in Abstractive Summarization
Zhenwen Li, Wenhao Wu, Sujian Li
Automatic Generation of Citation Texts in Scholarly Papers: A Pilot Study
Xinyu Xing, Xiaosheng Fan, Xiaojun Wan
Reasoning Over Semantic-Level Graph for Fact Checking
Wanjun Zhong, Jingjing Xu, Duyu Tang et al.
Neural Mixed Counting Models for Dispersed Topic Discovery
Jiemin Wu, Yanghui Rao, Zusheng Zhang et al.
Neural Graph Matching Networks for Chinese Short Text Matching
Lu Chen, Yanbin Zhao, Boer Lyu et al.
NeuInfer: Knowledge Inference on N-ary Facts
Saiping Guan, Xiaolong Jin, Jiafeng Guo et al.
How to Ask Good Questions? Try to Leverage Paraphrases
Xin Jia, Wenjie Zhou, Xu Sun et al.
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder
Daya Guo, Duyu Tang, Nan Duan et al.
Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?
Hitomi Yanaka, Koji Mineshima, Daisuke Bekki et al.
Curriculum Learning for Natural Language Understanding
Benfeng Xu, Licheng Zhang, Zhendong Mao et al.
Benchmarking Multimodal Regex Synthesis with Complex Structures
Xi Ye, Qiaochu Chen, Isil Dillig et al.
Word-level Textual Adversarial Attacking as Combinatorial Optimization
Yuan Zang, Fanchao Qi, Chenghao Yang et al.
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network
Wanjun Zhong, Duyu Tang, Zhangyin Feng et al.
Incorporating External Knowledge through Pre-training for Natural Language to Code Generation
Frank F. Xu, Zhengbao Jiang, Pengcheng Yin et al.
FastBERT: a Self-distilling BERT with Adaptive Inference Time
Weijie Liu, Peng Zhou, Zhiruo Wang et al.
Emerging Cross-lingual Structure in Pretrained Language Models
Alexis Conneau, Shijie Wu, Haoran Li et al.
Paraphrase Generation by Learning How to Edit from Samples
Amirhossein Kazemnejad, Mohammadreza Salehi, Mahdieh Soleymani Baghshah
Neural-DINF: A Neural Network based Framework for Measuring Document Influence
Jie Tan, Changlin Yang, Ying Li et al.
Worse WER, but Better BLEU? Leveraging Word Embedding as Intermediate in Multitask End-to-End Speech Translation
Shun-Po Chuang, Tzu-Wei Sung, Alexander H. Liu et al.
Tagged Back-translation Revisited: Why Does It Really Work?
Benjamin Marie, Raphael Rubino, Atsushi Fujita